Constraining νΛCDM with density-split clustering

Author:

Paillas Enrique12ORCID,Cuesta-Lazaro Carolina34,Zarrouk Pauline5,Cai Yan-Chuan6,Percival Will J127ORCID,Nadathur Seshadri8ORCID,Pinon Mathilde9,de Mattia Arnaud9,Beutler Florian6ORCID

Affiliation:

1. Waterloo Centre for Astrophysics, University of Waterloo , Waterloo, ON N2L 3G1, Canada

2. Department of Physics and Astronomy, University of Waterloo , Waterloo, ON N2L 3G1, Canada

3. Institute for Computational Cosmology, Department of Physics, Durham University , South Road, Durham DH1 3LE, UK

4. Institute for Data Science, Durham University , South Road, Durham DH1 3LE, UK

5. Sorbonne Université, Université Paris Diderot, Sorbonne Paris Cité, CNRS , Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), 4 place Jussieu, F-75252 Paris Cedex 5, France

6. Institute for Astronomy, University of Edinburgh , Blackford Hill, Edinburgh, EH9 3HJ, UK

7. Perimeter Institute for Theoretical Physics , 31 Caroline St North, Waterloo, ON N2L 2Y5, Canada

8. Institute of Cosmology and Gravitation, University of Portsmouth , Burnaby Road, Portsmouth PO1 3FX, UK

9. IRFU , CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France

Abstract

ABSTRACTThe dependence of galaxy clustering on local density provides an effective method for extracting non-Gaussian information from galaxy surveys. The two-point correlation function (2PCF) provides a complete statistical description of a Gaussian density field. However, the late-time density field becomes non-Gaussian due to non-linear gravitational evolution and higher-order summary statistics are required to capture all of its cosmological information. Using a Fisher formalism based on halo catalogues from the Quijote simulations, we explore the possibility of retrieving this information using the density-split clustering (DS) method, which combines clustering statistics from regions of different environmental density. We show that DS provides more precise constraints on the parameters of the νΛCDM model compared to the 2PCF, and we provide suggestions for where the extra information may come from. DS improves the constraints on the sum of neutrino masses by a factor of 7 and by factors of 4, 3, 3, 6, and 5 for Ωm, Ωb, h, ns, and σ8, respectively. We compare DS statistics when the local density environment is estimated from the real or redshift-space positions of haloes. The inclusion of DS autocorrelation functions, in addition to the cross-correlation functions between DS environments and haloes, recovers most of the information that is lost when using the redshift-space halo positions to estimate the environment. We discuss the possibility of constructing simulation-based methods to model DS clustering statistics in different scenarios.

Funder

Government of Canada

Ministry of Colleges and Universities

STFC

ERC

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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